Yuchen Zhu

Machine Learning PhD @ Georgia Tech 🍀

prof_pic.jpg

140 Skiles

686 Cherry St NW

Atlanta, GA 30332

Hi, I am Yuchen Zhu, a 2nd year Machine Learning PhD at Georgia Tech.

My interests lie in the broad aspects of GenAI, wich applications in vision, language, and sciences (e.g. single cell genomics, protein sciences, quantum physics, etc). My research currently focuses on diffusion generative models (especially for non-Euclidean data) and multimodal foundation models (such as VLMs).

At Georgia Tech, I am fortunate to be advised by Molei Tao and working with a group of incredible researchers. Prior to that, I graduated with MA in Statistics from Yale University and BS in Honors Mathematics with highest honor from NYU Shanghai. During those time, I had the privilege to work with Zhuoran Yang and Mathieu Laurière on reinforcement learning and mean field games.

Contact: yzhu738 [at] gatech [dot] edu


Updates
[02/2025] Check out my new work on fast high-order samplers for discrete diffusion models!
[01/2025] TDM and STEM got accepted to ICLR 2025, see you in Singapore!

Talks
[11/2024] GT ML Student Seminar
[10/2024] SIAM Mathematics of Data Science 2024 Atlanta, talk and poster presentation
[04/2024] Southeast ACM Student Workshop 2024, student presentation

Selected Publications

(* Equal contribution, Alphabetical order)
  1. ICLR
    Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
    Sichen Zhu*, Yuchen Zhu*, Molei Tao, and Peng Qiu
    In The Thirteenth International Conference on Learning Representations, 2025
  2. ICLR
    Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
    Yuchen Zhu*, Tianrong Chen*, Lingkai Kong, Evangelos Theodorou, and Molei Tao
    In The Thirteenth International Conference on Learning Representations, 2025
  3. arXiv
    Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
    Yinuo Ren*, Haoxuan Chen*, Yuchen Zhu*, Wei Guo*, Yongxin Chen, Grant M Rotskoff, Molei Tao, and Lexing Ying
    arXiv preprint arXiv:2502.00234, 2025